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Merge branch 'develop' into promotions/2026-01-27-anvilprod
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OPERATOR.rst

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@@ -290,11 +290,11 @@ Updating the AMI for GitLab instances
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As part of the upgrades isssue, operators must check for updates to the AMI for
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the root volume of the EC2 instance running GitLab. We use a hardened — to the
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requirements of the CIS Amazon Linux 2 benchmark — variant of Amazon's Linux 2
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AMI. The license to use the AMI for an EC2 instance is sold by CIS as a
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subscription on the AWS Marketplace:
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requirements of the CIS Hardened Image Level 1 on Amazon Linux 2023. The license
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to use the AMI for an EC2 instance is sold by CIS as a subscription on the AWS
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Marketplace:
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https://aws.amazon.com/marketplace/pp/prodview-wv574yqgjv6jg
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https://aws.amazon.com/marketplace/pp/prodview-fqqp6ebucarnm
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The license costs $0.024 per instance/hour. Every AWS account must subscribe
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separately.
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aws ec2 describe-images \
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--owners aws-marketplace \
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--filters="Name=name,Values=*abcfcbaf-134e-4639-a7b4-fd285b9fcf0a*" \
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--filters="Name=name,Values=*prod-fvm47vekg24oc*" \
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| jq -r '.Images[] | .CreationDate+"\t"+.ImageId+"\t"+.Name' \
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| sort \
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| tail -1
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temporarily blocked by the system, you will need to configure the maximum
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rate of requests that ZAP will send out. From the app menu bar, select
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*Tools*, then *Options*, then *Network*, then *Rate Limit*. Add and enable a
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three request per second rule for the match string ``anvilprod.org``, and
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three request per second rule for the match string ``anvilproject.org``, and
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another rule for the match string ``humancellatlas.org``.
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#. With the *Options* window open, select *Check for Updates* from the list of

README.md

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`deployments/.active/.terraform.{$AWS_PROFILE}/terraform.tfstate`.
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# 4. Running indexer or service locally
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# 4. Running system components locally
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## 4.1 Running indexer or service locally
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While this method *does* run the service or indexer locally on your machine, it
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still requires that the cloud resources used by them are already deployed.
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main menu choose *Run*, *Attach to local process* and select the `chalice`
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process.
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## 4.2 Running the Data Browser locally
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Follow the steps in the [Data Browser's README] to install the prerequisites
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and launch a local version of the Data Browser's server.
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[Data Browser's README]: https://github.com/DataBiosphere/data-browser/blob/main/README.md
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The argument you specify in the launch command controls which deployment of Azul
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the server will connect to (e.g. `dev:hca-dcp` for the HCA `dev` deployment).
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To connect to another Azul deployment, see the list of site configs in the
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`/site-config` folder. To connect to a personal deployment of Azul, temporarily
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modify a related site config (e.g. `/site-config/hca-dcp/dev/config.ts` for an
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HCA-based personal deployment), set the `CATALOG` and `DATA_URL` properties to
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values matching your personal deployment, and then launch the Data Browser's
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server with the modified config specified.
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Note that when run locally, the Data Browser will make duplicate requests to
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Azul on every page load. This is due to React being run in dev mode with
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StrictMode enabled. To disable this behavior, modify `/next.config.mjs` and set
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the `reactStrictMode` property to false.
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# 5. Troubleshooting
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UPGRADING.rst

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have too many entries in this file.
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#7128 Add support for HCA atlas (partial)
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=========================================
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In your personal HCA deployments, add the following snapshots to the ``dcp3``
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catalog:
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- ``8c4e43fb…``
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- ``8f1f653d…``
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- ``aca93e28…``
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- ``c0518445…``
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- ``c4e11369…``
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- ``edc54c5d…``
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As always, use the sandbox deployment's ``environment.py`` as a model when
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upgrading personal deployments.
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#7617 Index one snapshot from upcoming lm10 release in `dev`
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